{"id":"W2078058411","doi":"10.1111/j.1600-0870.2009.00399.x","title":"Fine structure of a Greenland reverse tip jet: a numerical simulation","year":2009,"lang":"en","type":"article","venue":"Tellus A Dynamic Meteorology and Oceanography","topic":"Climate variability and models","field":"Environmental Science","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Toronto; Canadian Foundation for Climate and Atmospheric Sciences; National Center for Atmospheric Research","keywords":"Geology; Mesoscale meteorology; Jet (fluid); Anticyclone; Wind speed; Orographic lift; Jet stream; Atmospheric sciences; Thermal wind; Climatology; Wind shear; Meteorology; Oceanography; Mechanics; Physics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0001716256,0.0001440222,0.0002507246,0.0000819589,0.00008021946,0.000004942231,0.0001078893,0.0001565596,0.0005970678],"category_scores_gemma":[0.00003673747,0.0001178633,0.00008045514,0.0002986801,0.0002607164,0.00009222876,0.00005139016,0.0001381282,0.000005669041],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001264286,"about_ca_system_score_gemma":0.00000400176,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003577417,"about_ca_topic_score_gemma":0.0001040268,"domain_scores_codex":[0.9990394,0.00008871364,0.0002398391,0.0002979049,0.0001196207,0.0002145583],"domain_scores_gemma":[0.9994729,0.0001288762,0.00009734865,0.0002192039,0.000008073066,0.00007364295],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0009801411,0.0004157136,0.8513392,0.00006433922,0.0001056651,0.00002030962,0.001592098,0.08470116,0.0336069,0.001523763,0.0002613184,0.02538939],"study_design_scores_gemma":[0.001126884,0.0008185386,0.5029693,0.00001173034,0.0001199282,0.00003240327,0.00002479584,0.4486398,0.000153249,0.04501516,0.0007796217,0.0003086779],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9934515,0.00008573641,0.00557977,0.0002422909,0.00004141868,0.0001627588,0.00002724343,0.00002821898,0.0003810021],"genre_scores_gemma":[0.9978118,0.00002221204,0.001842406,0.0002728317,0.000008023495,6.186648e-7,0.00001946501,0.000005173155,0.00001749017],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3639386,"threshold_uncertainty_score":0.6537474,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007753018284866312,"score_gpt":0.2348667213908885,"score_spread":0.2271137031060222,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}